Haley Yaremych, Statistical Testing Intern, JMP
Laura Castro-Schilo, Senior Research Statistician Developer, JMP
Often as we are trying to gain insights from our data, understanding that two variables are related is not enough. We need to dig deeper and ask questions like: under what circumstances are they related? For whom are they related, why are they related, and how? Moderation (i.e., interactions), mediation, and moderated mediation models allow us to answer these types of questions. These models are popular and important but cumbersome to fit. Furthermore, visualizations essential for understanding interactions are difficult to create from scratch. This presentation will describe the Moderation and Mediation Add-In for JMP Pro, which enables easy specification, fitting, and visual probing of interactions in three popular models: moderation, first-stage moderated mediation, and second-stage moderated mediation. With minimal user input, the add-in automatically specifies and estimates the appropriate model. Then, the results are processed and packaged into ready-to-publish output. An interactive Johnson-Neyman plot, as well as a simple slopes plot, is created. We will provide an in-depth demonstration of these features using an example from psychology. Academics and data analysts across the social, behavioral, educational, and life sciences will benefit from this novel functionality.
